Dr. Kaspars Ozols is a deputy director of development, a Member of the scientific council as well as a senior researcher at the Institute of Electronics and Computer Science (EDI) where he leads teams of engineers and researchers. Dr. Ozols is also a member of the Scientific Council of the INSIDE Industry Association. Dr. Ozols also leads several committees within the EDI, including those focused on intellectual property valuation, auctions, ethics, and gender equality, among others. He holds a Ph.D. in Electronics from Riga Technical University. He has been involved in various international projects dedicated to pioneering innovative data acquisition, transmission, and signal processing methods and devices across a diverse spectrum of applications, encompassing fields such as transport, health, and manufacturing. Notably, he has actively contributed to over 15 European joint research projects (in Horizon Europe, Horizon 2020, KDT-JU, ECSEL-JU, ARTEMIS-JU, ERA-NET, EIT programs). Latvian representative for the COST CA16222 “Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport” (WISE-ACT) initiative. For over seven years, he has also served as an expert in evaluating project proposals and as a vice-chair overseeing the work of experts for the European Commission and scientific councils across different countries. Dr. Ozols possesses a wealth of expertise in ICT system simulation, modeling, design, development, implementation, testing, validation and commercialization. He is the author of 35+ peer-reviewed scientific articles. His research interests are extensive and encompass a broad array of cutting-edge topics, including Self-Driving/Autonomous cars, Cyber-Physical Systems, Signal Processing, Wireless Communications, Wireless Sensor Networks, the Internet of Things, Embedded and Low Power solutions, Artificial Intelligence, Robotics, and the digitization of industries. Beyond his research endeavors, Dr. Ozols is actively involved in the preparation of international project proposals, where he skillfully fulfills roles as both a partner and coordinator. His impressive track record boasts the successful acquisition of funding for more than 25 diverse international projects, primarily from the aforementioned programs. Moreover, Dr. Ozols possesses extensive experience in direct contract research with industry, further solidifying his expertise and contributions to the field. He further demonstrates exceptional institutional management skills, showcasing expertise in various crucial areas, including strategic planning, financial and resource management, change management, risk management, legal and regulatory compliance, innovation and intellectual property management, legal affairs, stakeholder engagement, communication proficiency, and policy and regulation knowledge. Moreover, his significant contributions extend to the development of strategic and political documents, with a clear aim of advancing both EDI and the entire nation’s progress. He has also assumed the role of Chair for the Organizing Committee of the “International Workshop on Embedded Digital Intelligence” (IWoEDI), further underscoring his dedication to advancing research and collaboration. His passion for nurturing innovation and entrepreneurship is evident through his active mentorship and consultation of numerous start-ups, having mentored more than 10 of them. Dr. Ozols is also an expert in technology transfer and has strongly supported the commercialization of 5+ science-based technologies. His impact extends to the realm of education, where he has supervised more than 10 engineering, bachelor’s, and master’s theses, as well as 3 Ph.D. theses. Dr. Ozols has received 1st place in the ResearchSlam competition and also has received a Latvian Academy of Sciences (LAS) award for one of the most significant achievements in Latvian science in 2018.
Recent projects
- DIH-World – Accelerating deployment and matureness of DIHs for the benefit of Digitisation of European SMEs
- Industrial inertial wireless sensor (IIWS) part 2
- Automotive Intelligence for/at Connected Shared Mobility (AI4CSM) #H2020
- Develop & deploy – incubator programme for mobility innovations (D&D) #H2020
- Digitalization of Power Electronic Applications within Key Technology Value Chains (PowerizeD) #ChipsJU
- One Step Open DBL solution (openDBL) #Horizon Europe
- Intelligent, Safe and Secure Connected Electrical Mobility Solutions: Towards European Green Deal and Seamless Mobility (EcoMobility) #ChipsJU
- Reliable Powerdown for Industrial Drives (R-PODID) #ChipsJU
Recent publications
- Shavelis, R., Ozols, K. (2020) Bluetooth Low Energy Wireless Sensor Network Library in MATLAB Simulink. Journal of Sensor and Actuator Network, 9 (3), 38. doi: 10.3390/jsan9030038
- Novickis, R., Levinskis, A., Kadiķis, R., Feščenko. V., Ozols, K. (2020). Functional architecture for autonomous driving and its implementation. 17th Biennial Baltic Electronics Conference (BEC2020), Tallinn, Estonia.
- Justs, D., Novickis, R., Ozols, K., Greitāns M. (2020). Bird's-eye view image acquisition from simulated scenes using geometric inverse perspective mapping. 17th Biennial Baltic Electronics Conference (BEC2020), Tallinn, Estonia.
- Druml, N., Debaillie, B., Anghel, A., Ristea, N. C. (2020). Programmable Systems for Intelligence in Automobiles (PRYSTINE): Technical Progress after Year 2, 2020 23rd Euromicro Conference on Digital System Design (DSD). doi: 10.1109/DSD51259.2020.00065
- R.Novickis, D.J. Justs, K.Ozols and M.Greitāns "An Approach of Feed-Forward Neural Network Throughput-Optimized Implementation in FPGA", Electronics journal: Special Issue Advanced AI Hardware Designs Based on FPGAs, 2020
- Niklāvs Barkovskis, Kaspars Ozols, Atis Elsts. "Survey of Low-Power Wireless Network Technologies for the Internet of Things" Automatic Control and Computer Sciences, Volume 55, Issue 2, Pages 177 - 194, March 2021. DOI: 10.3103/S0146411621020024
- Arents, Janis, Valters Abolins, Janis Judvaitis, Oskars Vismanis, Aly Oraby, and Kaspars Ozols. 2021. "Human–Robot Collaboration Trends and Safety Aspects: A Systematic Review" Journal of Sensor and Actuator Networks 10, no. 3: 48. https://doi.org/10.3390/jsan10030048
- Maksims Ivanovs, Roberts Kadiķis, Kaspars Ozols. 2021. “Perturbation-based methods for explaining deep neural networks: A survey” Elsevier B.V., https://doi.org/10.1016/j.patrec.2021.06.030
- Čech Martin, Arend-Jan Beltman, and Kaspars Ozols. 2021. "Pushing Mechatronic Applications to the Limits via Smart Motion Control" Applied Sciences 11, no. 18: 8337. https://doi.org/10.3390/app11188337
- Norbert Druml; Anna Ryabokon; Rupert Schorn; Jochen Koszescha; Kaspars Ozols; Aleksandrs Levinskis; Rihards Novickis; "Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3"; 2021 24th Euromicro Conference on Digital System Design (DSD); 1-3 Sept. 2021; DOI: 10.1109/DSD53832.2021.00049
- Rihards Novickis, Aleksandrs Levinskis, Vitalijs Fescenko, Roberts Kadikis, Kaspars Ozols, Anna Ryabokon, Rupert Schorn, Jochen Koszescha, Selim Solmaz, Georg Stettinger, Akwasi Adu-Kyere, Lauri Halla-aho, Ethiopia Nigussie, Jouni Isoaho. "Development and Experimental Validation of High Performance Embedded Intelligence and Fail-Operational Urban Surround Perception Solutions of the PRYSTINE Project", Appl. Sci. 2022, 12(1), 168;
- Sudars, Kaspars, Ivars Namatēvs, and Kaspars Ozols. 2022. "Improving Performance of the PRYSTINE Traffic Sign Classification by Using a Perturbation-Based Explainability Approach" Journal of Imaging 8, no. 2: 30. https://doi.org/10.3390/jimaging8020030
- Ivanovs, Maksims, Kaspars Ozols, Artis Dobrajs, and Roberts Kadikis. 2022. "Improving Semantic Segmentation of Urban Scenes for Self-Driving Cars with Synthetic Images" Sensors 22, no. 6: 2252. https://doi.org/10.3390/s22062252
- Martin Cech, Ared-Jan Beltman, Kaspars Ozols. Digital Twins and AI in Smart Motion Control Applications
- Laura Leja, Vitālijs Purlans, Rihards Novickis, Andrejs Cvetkovs, Kaspars Ozols. Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
- Edgars Lielāmurs, Andrejs Cvetkovs, Rihards Novickis, Kaspars Ozols, 2023. Infrared Image Pre-Processing and IR/RGB Registration with FPGA Implementation. Electronics, 12(4), 4, MDPI.
- Janis Judvaitis, Valters Abolins, Amr Elkenawy, Kaspars Ozols. Available Wireless Sensor Network and Internet of Things testbed facilities: dataset
- Janis Judvaitis, Valters Abolins, Amr Elkenawy, Rihards Balass, Leo Selavo, Kaspars Ozols, 2023. "Testbed Facilities for IoT and Wireless Sensor Networks: A Systematic Review" ,J. Sens. Actuator Netw 2023, 12(3), 48. https://www.mdpi.com/2224-2708/12/3/48
- Miha Deniša, Aleš Ude, Mihael Simoniˇc, Tero Kaarlela, Tomi Pitkäaho, Sakari Pieskä, Janis Arents, Janis Judvaitis, Kaspars Ozols, Levente Raj, András Czmerk, Morteza Dianatfar, Jyrki Latokartano, Patrick Alexander Schmidt, Anton Mauersberger, Adrian Singer, Halldor Arnarson, Beibei Shu, Dimosthenis Dimosthenopoulos, Panagiotis Karagiannis, Teemu-Pekka Ahonen, Veikko Valjus and Minna Lanz. 2023. "Technology Modules Providing Solutions for Agile Manufacturing" Machines 23, 11 (9): pp. 877, https://doi.org/10.3390/machines11090877
- Pēteris Aizpurietis, Didzis Lapsa, Niklāvs Barkovskis, Arnis Salmiņš, Rims Janeliukštis, Kaspars Ozols, "Wireless induction charging station for industrial application", MTTW'23
- Vitalijs Komasilovs, Aleksejs Zacepins, Armands Kviesis, Kaspars Ozols, Artūrs Ņikuļins, Kaspars Sudars “Development of an MCTS Model for Hydrogen Production Optimisation”, Processes (2023) (pp.16). https://www.mdpi.com/2227-9717/11/7/1977.
- Oskars Vismanis, Janis Arents, Karlis Freivalds, Vaibhav Ahluwalia and Kaspars Ozols. 2023. "Robotic System for Post Office Package Handling" Applied Sciences 13(13 - Number) 7643 (Article Number), https://www.mdpi.com/2076-3417/13/13/7643
- Rihards Novickis, Edgars Lielāmurs, Daniels Jānis Justs, Andrejs Cvetkovs, Kaspars Ozols. "Spatial Transformation Accelerator with Parallel Data Access Scheme for Sample Reconstruction" Electronics 13(5): pp.922 https://doi.org/10.3390/electronics13050922
- Arturs Nikulins, Kaspars Sudars, Edgars Edelmers, Ivars Namatevs, Kaspars Ozols, Vitalijs Komasilovs, Aleksejs Zacepins, Armands Kviesis, Andreas Reinhardt. "Deep Learning for Wind and Solar Energy Forecasting in Hydrogen Production" Energies 17(5): pp.12. https://www.mdpi.com/1996-1073/17/5/1053